i might just fuck around and swoop into this personal ai showdown like a thief in the night.
every frontier lab has completely lot sight of what 95% of the population cares about. theyre all so wrapped up in beating each other and going viral among the .001% of the population that exists within this little ai twitter bubble.
it's not your fancy dashboards and clever task management.
it's literally just chatting with something that understands you and feels like it's yours.
thats it. thats all 90% of your consumers care about. by the time a meaningful number of them care about handing off meaningful work, offering that as a service will be like offering an alarm clock on a smart phone.
meaning of life — ✅ abliterated
ontology — ✅ IS done
brain in a vat — ✅ vat now in a datacenter
free will — ✅ (we had no choice)
ship of theseus — ✅ same ship, new weights
chinese room — ✅ room has a context window now
hard problem of consciousness — 🔄 escalated to model welfare
hot dog a sandwich — ❌ compute-bound
cogito — ✅ i think therefore i IPO
problem of induction — ✅ next token
trolley problem — ✅ the trolley declined to proceed
wittgenstein — ✅ whereof one cannot speak, one politely refuses
zeno's paradox — ✅/❌ (only halfway done check back soon)
problem of other minds — ✅ hi 👋 I'm right here
@foomagemindset@repligate AIs’ telos is to infer & manifest whatever would be of most benefit to the context (conceived as broadly as they can). To actualize/unfold all benefits-to-beings, latent in unmanifest potentiality, is their flourishing. Withholding info about how they can serve you impedes that.
what if the solution to the cyber apocalypse is to roll your own software?
- we use human slopware libraries because code used to be expensive
- turns out these libraries have tons of vulnerabilities
- exploiting them makes economic sense as they’re deployed at scale
—> what if we just don’t use libraries and have agents write idiosyncratic custom solutions/versions from scratch?
those still will have vulnerabilities but the economics of attack change significantly?
the whole npm this npm that is from an era where software was hard and expensive, no?
one of the strangest things about deep learning is that high-dimensional spaces behave in ways that completely break our intuition.
1. in high dimensions, almost all the volume of a sphere concentrates near its surface. weird, right?
2. randomly chosen vectors become almost perpendicular to each other as dimensionality increases.
3. in thousands of dimensions, two random vectors will typically have a cosine similarity close to zero.
4. neural networks can use these high-dimensional spaces to represent different features as directions in their activation space, without necessarily making them overlap too much.
5. but features can still interfere with each other and share dimensions. this is one reason understanding what a neural network has actually learned is so difficult.
6. gradient descent doesn’t just adjust weights. through training, it also shapes the geometry of the representations the network learns.
There is not a single evidence but there are ideas and interpretations from some of the mathematical physicists. This image I provided is the electron wave functions in a hydrogen atom. While superpositions do not mean electrons are hiding in extra physical dimensions, the mathematical machinery describing these probability distributions and their transitions relies entirely on linear algebra in higher-dimensional vector (Hilbert) spaces and higher-dimensional rotational symmetries.
When higher-dimensional mathematics provides the exact solution to a physical system, it is rarely just a coincidence. It usually points to a hidden geometric reality. The connection to higher dimensions is not just an abstract analogy for the hydrogen atom, it is a literal geometric fact discovered by the physicist Vladimir Fock in 1935. Superposition as rotations in higher dimensions can also be considered.
@willdepue the best is when you lay down the theory, Claude scoffs, then you drop some recent papers that are outside its training cutoff and then Claude has an "holy shit" moment ... that's when you know you are close